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Associate Director, AI Product Manager

TN United Kingdom

London

Hybrid

GBP 80,000 - 100,000

Full time

Yesterday
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Job summary

Join a leading biopharma company as an Associate Director, AI Product Manager, where you will spearhead the AI product vision and strategy. This role involves leading a cross-functional team, driving innovation, and collaborating with experts to enhance clinical trial effectiveness. The position offers a hybrid working model and competitive benefits, including a salary, annual bonus, and healthcare programs.

Benefits

Healthcare and wellbeing programmes
Pension plan membership
Shares and savings programme
Annual bonus based on performance

Qualifications

  • Strong product management experience in AI/ML.
  • Experience in partnering with R&D labs.
  • Programming experience analyzing data sets.

Responsibilities

  • Lead AI product vision and strategy.
  • Motivate cross-functional teams to meet milestones.
  • Collaborate with experts for high-quality solutions.

Skills

AI/ML
Product Management
Programming
Communication

Education

Bachelor’s degree in computer science
Bachelor’s degree in bioinformatics
Bachelor’s degree in applied math
Bachelor’s degree in statistics
Bachelor’s degree in engineering

Tools

Confluent Kafka
Mendix
MS Azure
JIRA
Azure DevOps
R
SQL
Python

Job description

Social network you want to login/join with:

Associate Director, AI Product Manager, London

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Client:

GSK

Location:

London, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

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Job Reference:

e3b929c5ea91

Job Views:

3

Posted:

14.05.2025

Expiry Date:

28.06.2025

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Job Description:

Job description
Site Name: Italy - Siena, Belgium-Rixensart, GSK HQ
Posted Date: May 12 2025

Join GSK's dynamic team to lead the AI product vision and strategy, driving innovative solutions that align with our R&D goals in target choice, patient identification, molecule design and clinical trial effectiveness. Motivate and guide a cross-functional team to meet milestones. Collaborate with experts to develop high-quality simulation modeling and analytical solutions. Shape the future of AI at GSK by establishing clear roadmaps, promoting adoption, and delivering industry-leading products.

We create a place where people can grow, be their best, be safe, and feel welcome, valued, and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme.

We embrace modern work practises; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in-office work.

Discover more about our company wide benefits and life at GSK on our webpage Life at GSK | GSK

In this role you will:

  • Take the lead in identifying ambitious opportunities and shaping AI product vision, strategy, and roadmaps in alignment with GSK's R&D goals.
  • Drive innovation by proactively exploring, adopting, and testing novel AI technologies, using creative problem-solving to address business pain points while leveraging partnerships and market insights.
  • Lead and motivate a cross-functional team of machine learning developers, engineers, and domain experts to achieve product milestones.
  • Compute, analyze, and document AI model performance metrics while identifying and implementing strategies to enhance model accuracy and effectiveness.
  • Collaborate with subject matter experts in pre-clinical research, clinical trial design and operation, precision medicine, regulatory science, and CMC to achieve scientifically sound and high-quality simulation modeling and analytical solutions.
  • Establish clear AI roadmaps and ensure business objective and stakeholder alignment throughout the product life cycle.

Why You?

Basic Qualifications:

We are looking for professionals with these required skills to achieve our goals:

  • Bachelor’s degree in computer science, bioinformatics, applied math, statistics or engineering.
  • Strong product management experience with domain specific expertise in AI/ML and mechanistic modeling (designing, developing and maintaining both mechanistic and data driven products for in-silico running of R&D pharma laboratory experiments).
  • Experience in partnering with R&D labs domain (Pre-Clinical and CMC) and in the digitalization of technical process development through modeling, including the end-to-end digital process setup, testing and maintenance.
  • Experience in Confluent Kafka, Mendix, MS Azure stack and Agile tool kits such as JIRA or Azure DevOps.
  • Experience of AI/ML model metrics (e.g., F1 and AI-contents evaluation metrics) including human-in-the-loop (HITL) AI/ML monitoring.
  • Programming experience (R/SQL/Python) analyzing data sets and making decisions based on data, as well as experience with prompt engineering techniques to improve solution accuracy.

Preferred Qualifications

Please note the following skills are not necessary, just preferred, if you do not have them, please still apply:

  • Strong Business Partnering skills, proven experience in identifying opportunities to leverage technology to solve Business Problems and track of record in delivering and managing such products. Strong written and verbal communication skills in technical presentations and team objective and milestone reporting.
  • Experience managing the full AI product lifecycle, including incorporating customer feedback into product requirements, prioritizing features, and overseeing both pre- and post-launch activities.
  • Experience working in a technical environment with a broad, cross functional team to drive product vision, define product requirements, coordinate resources from other groups (design, legal, procurement, etc.), and guide the team through key milestones.
  • Proficiency in AI-based tools in market research, product requirement, and user research to enhance efficiency.
  • Enthusiastic and resilient in a constantly evolving environment where the process is fluid and creative solutions are key.
  • Hands-on experience in databricks, Azure AI stack, or GCP AI stack as well as prompt programming such as DSPy.

Locations: Siena, Italy – Rixensart, Belgium – London HQ, UK

Please note that relocation support cannot be provided, therefore only such candidates can be considered, who are already based in the indicated countries.

Closing Date for Applications – 26/05/2025

Please take a copy of the Job Description, as this will not be available post closure of the advert.
When applying for this role, please use the ‘cover letter’ of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application.

#LI-Hybrid

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US).

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.

Important notice to Employment businesses/ Agencies

GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.

Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/

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